Build order for NSLS-II software stack
See original GitHub issuehttps://github.com/NSLS-II/auto-build-tagged-recipes/blob/master/dependencies.ipynb, cell [186] is the actual build order.
This is the build order for the NSLS-II software stack as defined by networkx.topological_sort()
. I suppose I’ll just start at the top and work my way down!
Build Order
- mongoquery #816
- slacker #815
- tinydb #814
- xraylib #597
- scikit-beam #595
- ncurses # Package already on conda-forge
- readline # Package already on conda-forge
- epics-base #640
- pcaspy
- xray-vision #687
- pyepics
- hdf5 # Package already on conda-forge
- slicerator #665
- pims
- atom
- tzlocal
- channelarchiver
- doct #612
- boltons #560
- pymongo
- h5py # Package already on conda-forge
- tifffile # Package already on conda-forge
- filestore
- metadatastore
- databroker
- csxtools
- m4 # Package already on conda-forge
- autoconf # Package already on conda-forge
- automake # Package already on conda-forge
- libtool # Package already on conda-forge
- pkg-config # Package already on conda-forge
- gettext # Package already on conda-forge
- glib # Package already on conda-forge
- cairo-gobject
- gobject-introspection
- py3cairo
- pygobject3
- prettytable
- ophyd
- eiger-io
- fabio
- hdf5-lz4 #669
- hgtools
- keyring #664
- yasm # Package already on conda-forge
- x264 # Package already on conda-forge
- ffmpeg # Package already on conda-forge
- event-model #663
- trackpy
- kiwisolver
- enaml
- pyxrf
- super_state_machine
- historydict #662
- bluesky
- args #659 (thanks @janschulz !)
- characteristic
- gsl # Package already on conda-forge
- hkl
- album
- suitcase
- chxtools
- git # Package already on conda-forge
- pyasn1-modules
- service_identity
- datamuxer
- emcee #639
- lmfit #639
- analysis
- pyolog
- collection
- clint #659 (thanks @janschulz !)
- ixstools
Two questions:
- A non-trivial portion of this list is basically linux-only. Is that ok?
- Are there any recipes in this list that I should not add?
edit: I’m also sort of using this as a personal notepad, I hope that’s ok!
Issue Analytics
- State:
- Created 7 years ago
- Comments:16 (12 by maintainers)
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channelarchiver is included. https://github.com/conda-forge/staged-recipes/pull/1088
There were a few others that had been done too. So I went ahead and checked those off.